An approach to the Gaussian RBF kernels via Fock spaces
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Publication:5884798
DOI10.1063/5.0060342OpenAlexW4308885731MaRDI QIDQ5884798
Fabrizio Colombo, Irene Sabadini, Kamal Diki, Daniel Alpay
Publication date: 24 March 2023
Published in: Journal of Mathematical Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2210.14167
Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Functions of hypercomplex variables and generalized variables (30G35) Bergman spaces and Fock spaces (30H20)
Cites Work
- Unnamed Item
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- Theoretical foundations of the potential function method in pattern recognition learning
- Analysis on Fock Spaces
- The Fock Space in the Slice Hyperholomorphic Setting
- On a Hilbert space of analytic functions and an associated integral transform part I
- An Approach to Time Series Analysis
- Support Vector Machines
- An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels
- Quantum Theory for Mathematicians
- Towards a dictionary for the Bargmann transform
- An Advanced Complex Analysis Problem Book
- Theory of Reproducing Kernels
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